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Yu XS, Tan S, Tang W, Zhao FF, Ji J, Lin J, He HJ, Gu Y, Liang JJ, Wang M, Chen Y, Yang J, Xie L, Wang Q, Liu M, He Y, Chen L, Wang YX, Wu Z, Zhao G, Liu Y, Wang Y, Hao D, Cen J, Yao SQ, Zhang D, Liu L, Lye DC, Hao Z, Wong TY, Cen LP. Multi-dimensional epidemiology and informatics data on COVID-19 wave at the end of zero COVID policy in China. Front Public Health 2024; 12:1442728. [PMID: 39224554 PMCID: PMC11366567 DOI: 10.3389/fpubh.2024.1442728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024] Open
Abstract
Background China exited strict Zero-COVID policy with a surge in Omicron variant infections in December 2022. Given China's pandemic policy and population immunity, employing Baidu Index (BDI) to analyze the evolving disease landscape and estimate the nationwide pneumonia hospitalizations in the post Zero COVID period, validated by hospital data, holds informative potential for future outbreaks. Methods Retrospective observational analyses were conducted at the conclusion of the Zero-COVID policy, integrating internet search data alongside offline records. Methodologies employed were multidimensional, encompassing lagged Spearman correlation analysis, growth rate assessments, independent sample T-tests, Granger causality examinations, and Bayesian structural time series (BSTS) models for comprehensive data scrutiny. Results Various diseases exhibited a notable upsurge in the BDI after the policy change, consistent with the broader trajectory of the COVID-19 pandemic. Robust connections emerged between COVID-19 and diverse health conditions, predominantly impacting the respiratory, circulatory, ophthalmological, and neurological domains. Notably, 34 diseases displayed a relatively high correlation (r > 0.5) with COVID-19. Among these, 12 exhibited a growth rate exceeding 50% post-policy transition, with myocarditis escalating by 1,708% and pneumonia by 1,332%. In these 34 diseases, causal relationships have been confirmed for 23 of them, while 28 garnered validation from hospital-based evidence. Notably, 19 diseases obtained concurrent validation from both Granger causality and hospital-based data. Finally, the BSTS models approximated approximately 4,332,655 inpatients diagnosed with pneumonia nationwide during the 2 months subsequent to the policy relaxation. Conclusion This investigation elucidated substantial associations between COVID-19 and respiratory, circulatory, ophthalmological, and neurological disorders. The outcomes from comprehensive multi-dimensional cross-over studies notably augmented the robustness of our comprehension of COVID-19's disease spectrum, advocating for the prospective utility of internet-derived data. Our research highlights the potential of Internet behavior in predicting pandemic-related syndromes, emphasizing its importance for public health strategies, resource allocation, and preparedness for future outbreaks.
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Affiliation(s)
- Xin-sheng Yu
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
- Shantou University Medical College, Shantou, China
| | - Shaoying Tan
- School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Wanting Tang
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
- Shantou University Medical College, Shantou, China
| | - Fang-fang Zhao
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
| | - Jie Ji
- Network & Information Centre, Shantou University, Shantou, China
| | - Jianwei Lin
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
| | - Han-jie He
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
- Shantou University Medical College, Shantou, China
| | - Youxin Gu
- Queensland University of Technology, Brisbane, QLD, Australia
| | - Jia-Jian Liang
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
| | - Meng Wang
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
- Shantou University Medical College, Shantou, China
| | - Yequn Chen
- The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jiancheng Yang
- Shantou Healthcare Security Administration Center, Shantou, China
| | - Longxu Xie
- Hybribio Medical Laboratory Group Ltd., Chaozhou, China
- Human Papillomavirus Molecular Diagnostic Engineering Technology Research Centre, Chaozhou, China
| | | | - Mengyu Liu
- Shantou University Medical College, Shantou, China
- Hybribio Medical Laboratory Group Ltd., Chaozhou, China
| | - Yang He
- Hybribio Medical Laboratory Group Ltd., Chaozhou, China
| | - Lan Chen
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
| | - Ya Xing Wang
- Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Zhaoxiong Wu
- Jinping District People's Hospital of Shantou, Shantou, China
| | - Gang Zhao
- Zhengzhou Second Hospital, Henan, China
| | - Yi Liu
- Zhengzhou Second Hospital, Henan, China
| | - Yun Wang
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
| | | | - Jingyun Cen
- Shaoguan University Medical College, Shaoguan, China
| | - Shi-Qi Yao
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
- Shantou University Medical College, Shantou, China
| | - Dan Zhang
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
- Shantou University Medical College, Shantou, China
| | - Lifang Liu
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
- Shantou University Medical College, Shantou, China
| | - David Chien Lye
- National Centre for Infectious Diseases, Singapore, Singapore
- Tan Tock Seng Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Zhifeng Hao
- College of Mathematics and Computer Science, Shantou University, Shantou, China
| | - Tien Yin Wong
- Tsinghua Medicine, Tsinghua University, Beijing, China
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore
| | - Ling-Ping Cen
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China
- Shantou University Medical College, Shantou, China
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Yeo YH, Wang M, He X, Lv F, Zhang Y, Zu J, Li M, Jiao Y, Ebinger JE, Patel JK, Cheng S, Ji F. Excess risk for acute myocardial infarction mortality during the COVID-19 pandemic. J Med Virol 2023; 95:e28187. [PMID: 36176195 PMCID: PMC9839603 DOI: 10.1002/jmv.28187] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 01/17/2023]
Abstract
The COVID-19 pandemic has had a detrimental impact on the healthcare system. Our study armed to assess the extent and the disparity in excess acute myocardial infarction (AMI)-associated mortality during the pandemic, through the recent Omicron outbreak. Using data from the CDC's National Vital Statistics System, we identified 1 522 669 AMI-associated deaths occurring between 4/1/2012 and 3/31/2022. Accounting for seasonality, we compared age-standardized mortality rate (ASMR) for AMI-associated deaths between prepandemic and pandemic periods, including observed versus predicted ASMR, and examined temporal trends by demographic groups and region. Before the pandemic, AMI-associated mortality rates decreased across all subgroups. These trends reversed during the pandemic, with significant rises seen for the youngest-aged females and males even through the most recent period of the Omicron surge (10/2021-3/2022). The SAPC in the youngest and middle-age group in AMI-associated mortality increased by 5.3% (95% confidence interval [CI]: 1.6%-9.1%) and 3.4% (95% CI: 0.1%-6.8%), respectively. The excess death, defined as the difference between the observed and the predicted mortality rates, was most pronounced for the youngest (25-44 years) aged decedents, ranging from 23% to 34% for the youngest compared to 13%-18% for the oldest age groups. The trend of mortality suggests that age and sex disparities have persisted even through the recent Omicron surge, with excess AMI-associated mortality being most pronounced in younger-aged adults.
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Affiliation(s)
- Yee Hui Yeo
- Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Maggie Wang
- Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Xinyuan He
- Department of Infectious Disease, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Fan Lv
- School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Yue Zhang
- Department of Infectious Disease, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China,The Eighth Hospital of Xi’an City, Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Jian Zu
- School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Mei Li
- Department of Infectious Disease, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Yang Jiao
- Department of Endocrinology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Joseph E. Ebinger
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jignesh K. Patel
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Susan Cheng
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Fanpu Ji
- Department of Infectious Disease, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China,National & Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, PRC
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Kolkailah AA, Riggs K, Navar AM, Khera A. COVID-19 and Cardiometabolic Health: Lessons Gleaned from the Pandemic and Insights for the Next Wave. Curr Atheroscler Rep 2022; 24:607-617. [PMID: 35773565 PMCID: PMC9247906 DOI: 10.1007/s11883-022-01033-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE OF REVIEW To review the current evidence regarding the impact of the coronavirus disease 2019 (COVID-19) pandemic on cardiometabolic health, with a focus on strategies to help mitigate adverse effects on population health. RECENT FINDINGS Individuals with cardiometabolic disease are particularly vulnerable to worse outcomes with COVID-19 infection. In addition, the pandemic itself has had significant deleterious impact on the cardiometabolic health of the population, including declines in physical activity, increases in smoking and alcohol use, worsening blood pressure and glycemic control, and detrimental effects on mental health. Targeted interventions at the patient and community level will be needed to mitigate the long-term consequences of the COVID-19 pandemic on population cardiometabolic health. The COVID-19 pandemic has worsened cardiometabolic health, but there are several opportunities and enhanced tools available to counteract these changes.
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Affiliation(s)
- Ahmed A. Kolkailah
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390 USA
| | - Kayla Riggs
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390 USA
| | - Ann Marie Navar
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390 USA
| | - Amit Khera
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390 USA
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Yamaguchi S, Okada A, Sunaga S, Ikeda Kurakawa K, Yamauchi T, Nangaku M, Kadowaki T. Impact of COVID-19 pandemic on healthcare service use for non-COVID-19 patients in Japan: retrospective cohort study. BMJ Open 2022; 12:e060390. [PMID: 35466081 PMCID: PMC9058318 DOI: 10.1136/bmjopen-2021-060390] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES We aimed to investigate the impact of the first and second waves of the COVID-19 pandemic on healthcare service use by non-COVID-19 patients. DESIGN Retrospective cohort study. SETTING Hospital-based claims database from anonymised hospitals in Japan. PARTICIPANTS Patients (n=785 495) who visited and/or were hospitalised in 26 anonymised hospitals in Japan between January 2017 and November 2020. OUTCOME MEASURES We compared changes in the monthly number of hospitalisations (overall or by diagnosis), outpatient visits, endoscopic fibrescopies (EFs), rehabilitations, outpatient chemotherapy treatments, maintenance haemodialysis treatments and outpatient prescriptions between pre-COVID-19 years and the same period in 2020. RESULTS The overall number of hospitalisations and outpatient visits decreased by 27% and 22%, respectively, in May 2020, of which the most substantial decrease was observed in the paediatrics department (65% and 51%, respectively). The number of hospitalisations for respiratory diseases, circulatory diseases, malignant neoplasms and digestive diseases decreased by a maximum of 55%, 32%, 10% and 26%, respectively, in 2020. The number of hospitalisations for non-COVID-19 pneumonia in patients aged <16 years, patients aged ≥16 years and patients with asthma decreased by 93%, 43% and 80%, respectively, in May 2020. EFs and outpatient rehabilitations decreased by >30%. In contrast, outpatient chemotherapy and maintenance haemodialysis treatments decreased by <10%, if at all. Outpatient prescriptions decreased by a maximum of 20% in 2020, with the largest decrease observed in drugs for obstructive airway diseases and cough and cold preparations. CONCLUSIONS The use of healthcare services by non-COVID-19 patients was most affected during the first wave of the COVID-19 pandemic in May 2020. The number of hospitalisations for respiratory diseases, particularly non-COVID-19 pneumonia and asthma, drastically decreased, while the number of hospitalisations and outpatient chemotherapies for malignant neoplasms or maintenance haemodialysis was less affected.
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Affiliation(s)
- Satoko Yamaguchi
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Akira Okada
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | | | - Kayo Ikeda Kurakawa
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takashi Kadowaki
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Toranomon Hospital, Tokyo, Japan
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